DocumentCode
3082913
Title
Distribution system restoration - a Multi Agent approach
Author
Felix, A. ; Nunna, H. S. V. S. Kumar ; Doolla, Suryanarayana
Author_Institution
Dept. of Energy Sci. & Eng., Indian Inst. of Technol. Bombay, Mumbai, India
fYear
2012
fDate
7-9 Dec. 2012
Firstpage
1014
Lastpage
1019
Abstract
Smart grid is a new paradigm to improve efficiency, reliability and quality of the services provided by the utilities. One of the major components of the smart grid is smart distribution system which includes distributed generation and a two way communication between customers and utility. The reliability of the service provided by the utilities depends on stiffness of the system to abnormal conditions like faults. The issues pertaining to improving the reliability of the distribution systems using advanced automation technologies are being reported in the literature. This paper reviews the state of the art technologies such as Multi Agent Systems (MAS) used in distribution system restoration and highlights the major advantages of the same. In this paper centralized, decentralized and hybrid control strategies, implemented to control agents in restoration framework are discussed in detail.
Keywords
distributed power generation; multi-agent systems; power distribution reliability; power engineering computing; power system restoration; smart power grids; abnormal conditions; advanced automation technologies; centralized strategies; decentralized strategies; distributed generation; distribution system restoration; distribution systems reliability; hybrid control strategies; multiagent approach; multiagent systems; quality of services; restoration framework; smart grid; Reliability; Distributed generation; distribution system automation; multi agent systems; radial distribution networks; service restoration;
fLanguage
English
Publisher
ieee
Conference_Titel
India Conference (INDICON), 2012 Annual IEEE
Conference_Location
Kochi
Print_ISBN
978-1-4673-2270-6
Type
conf
DOI
10.1109/INDCON.2012.6420765
Filename
6420765
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